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Data Analytics to Improve Customer Energy Efficiency
Author(s) -
Michail Angelopoulos,
Yannis A. Pollalis
Publication year - 2021
Publication title -
archives of business research
Language(s) - English
Resource type - Journals
ISSN - 2054-7404
DOI - 10.14738/abr.96.10290
Subject(s) - efficient energy use , energy consumption , data science , analytics , energy (signal processing) , computer science , data analysis , information and communications technology , range (aeronautics) , consumer behaviour , consumption (sociology) , data mining , marketing , business , engineering , world wide web , social science , statistics , mathematics , aerospace engineering , sociology , electrical engineering
This research focuses on providing insights for a solution for collecting, storing, analyzing and visualizing data from customer energy consumption patterns. The data analysis part of our research provides the models for knowledge discovery that can be used to improve energy efficiency at both producer and consumer ends. Τhe study sets a new analytical framework for assessing the role of behavioral knowledge in energy efficiency using a wide range of Case Studies, Experiments, Research, Information and Communication Technologies (ICT) in combination with the most modern econometric methods and large analytical data taking into account the characteristics of the study participants (household energy customers).

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